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Find FPL players by expected points

find_players
Read-onlyIdempotent

Use this to find the best Fantasy Premier League (fantasy football) players to pick or buy, by FPL Copilot expected points (xPts, also called predicted or projected points), filtered by position, price, club or ownership, and sorted by points, value per £m, or as low-owned differentials. Classic FPL, not FPL Draft.

Input Schema

NameRequiredDescriptionDefault
sortNoxpts (default), value (xPts per £m) or differential (low-owned)xpts
teamNoClub, e.g. ARS or Arsenal
limitNoHow many players (1-15)
horizonNoHow many gameweeks ahead to count (1-8).
positionNoPosition: GK, DEF, MID or FWD
max_priceNoMax price in £m, e.g. 8.0
min_priceNoMin price in £m
max_ownershipNoMax ownership %, e.g. 10 for differentials

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed9 schema fields changed
    • removedInput schema / properties / horizon / maximum
      Removed value: -8
    • removedInput schema / properties / horizon / minimum
      Removed value: -1
    • changedInput schema / properties / limit / description
      Previous value: -"How many players (max 15)"New value: +"How many players (1-15)"
    • removedInput schema / properties / limit / maximum
      Removed value: -15
    • removedInput schema / properties / limit / minimum
      Removed value: -1
    • changedInput schema / properties / position / anyOf
      Previous value: -[
      -  {
      -    "enum": [
      -      "GK",
      -      "DEF",
      -      "MID",
      -      "FWD"
      -    ],
      -    "type": "string"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]New value: +[
      +  {
      +    "maxLength": 24,
      +    "type": "string"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • changedInput schema / properties / position / description
      Previous value: -"Position"New value: +"Position: GK, DEF, MID or FWD"
    • removedInput schema / properties / sort / enum
      Removed value: -[
      -  "xpts",
      -  "value",
      -  "differential"
      -]
    • addedInput schema / properties / sort / maxLength
      Added value: +24
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so safety and idempotency are covered. The description adds useful domain context (what xPts means, the classic-vs-draft distinction) but says nothing about result shape or how the 'best' set is bounded beyond the limit parameter.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded in the opening clause and everything sits in one dense but purposeful sentence with no filler. The stacked parentheticals (xPts definitions) make it slightly heavy but each element maps to a real capability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter, no-required-args query tool with no output schema and full annotation coverage, the description covers purpose, filter axes, sort modes and the game-mode scope. The only gap is the absence of output-shape or result-size hints, which is minor given the limit parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all 8 parameters including sort options (xpts/value/differential) and filters. The description restates those same dimensions (position, price, club, ownership; points, value per £m, differentials) without adding syntax or semantics beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a clear verb (find) and resource (FPL players) with a specific ranking basis (xPts / expected points) and the filter/sort dimensions. It states a clear value proposition, but it never distinguishes itself from sibling tools such as compare_players or get_player, so 5 is not warranted.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It says when to reach for it ('to find the best ... players to pick or buy') and adds one exclusion ('Classic FPL, not FPL Draft'), which is a game-mode rather than a tool alternative. It names no sibling alternative and gives no condition that routes the agent between find_players, compare_players or get_player, so usage is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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